![]() ![]() The metric name was incorrectly specified. ![]() When the same metric extraction query is used on both of these applications, it will not be located for one. Using machine learning and a robust notifications system, TimeSlice helps people make the most out of every day by recognizing patterns in routines and habits over time, improving schedules based on users' unique needs. The metric timeslice data has not been created for one application, but exists for another. TimeSlice is a mobile app that helps busy college students, professionals, and neurodivergent individuals with daily scheduling.Situations may arise where non-existent metric names are requested. Extracting non-existent metric timeslice data How long data is available depends on the data retention for specific types of data. However, you cannot request 1-hour periods, because that is less than the default (3 hours). In the command example above, you cannot request 1-minute periods, since that is less than the default (half hour) granularity for the time range.Įxample #2: If you request a range > 7 days but ≤ 3 weeks, where the default period is 3 hours, you can specify periods such as 6, 12, or 24 hours.In the command example above, you can request 1-hour periods, since that is greater than the default (half hour) granularity for the time range.You cannot specify a period smaller than the default for the time range you are requesting. By adding period=3600, the data will be returned as 60-minute periods. ![]() Ensure your specifications follow our data aggregation schedules.Įxample #1: Following New Relic's table summarizing granularity of collected data, the following API call would normally return data in 30-minute periods, since the request is for 4 days ( from= and to=). To control this, include the period= parameter in the query command as the number of seconds you want each time period to report. Sometimes the output data's granularity may be too fine, or the time period for the data returned may be too short. Returning only ten values prevents oversampling and presents a smoother chart, which eliminates a possibly misleading "plateau" effect. Obtaining data at less than an hourly period in the time range would cause oversampling, resulting in duplicate values being returned. This means that for any one hour period, only a single data value is available. Kernel This Adaptive Server process has had 0 major and 813876 minor page faults since boot.When the start time for a requested time range is older than eight days, data has been aggregated or averaged to one hour periods due to the data aggregation schedule. Kernel timeslice error: spid exhausted its 'time slice' of 100 milliseconds and additional 'cpu grace time' of 1500 ticks (150000 milliseconds). Syntax The timeslice operator uses the metadata field messagetime to organize the logs by slices. Kernel uc_stack: ss_sp: 0x(nil), ss_size: 0x0, ss_flags: 0x2 Log Search Search Query Language Search Operators Timeslice Join Results Timeslice Join Results When you gather data using a join operator, you can slice data by time period using the timeslice operator. Kernel timeslice -1761, current process infected at 0x7ffff581b0a5 (_xstat64+0x15)
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